Metrics
Agent observability for Cloud Agents: track activity, success rates, PR outcomes, cost, and workflow reliability across your repositories.
Metrics provides Agent observability for Cloud Agents and automated workflows. Agent observability answers a simple question: What are my AI agents doing, and is it working? Use Metrics to monitor agent activity, understand human intervention, measure success rates, and evaluate the cost and impact of AI-driven work across your repositories.
What Metrics Show About Your Cloud Agents
Continue’s Metrics give you operational observability for AI agents, similar to how traditional observability tools provide visibility into services, jobs, and pipelines.
Instead of logs and latency, agent observability focuses on:
- Runs and execution frequency
- Success vs. human intervention
- Pull request outcomes
- Cost per run and per workflow
Why Metrics Matter
Improve Agent Reliability
Identify which Agents need better rules, tools, or prompts.
Measure Automation Value
See how much work your automated Workflows are completing across your repos.